{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7. Position_Control\n",
    "1/3,1/3,1/3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1SseOHZVOnTrlZzVFFgyds9y83xVFUapVq6bcvn1bL72h68ibKKfHNykpSXn/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\nXif9/AvIWnXZgPpqP3Gc1iNHSFm8BH1aeDPqSoWC/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d9jfnnNNEqPtjOzTyjHhO4Qne2H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      "text/plain": [
       "<matplotlib.figure.Figure at 0x251e2978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "import rqalpha\n",
    "from rqalpha.api import *\n",
    "import talib\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.SHORTPERIOD = 10\n",
    "    context.LONGPERIOD = 30\n",
    "    context.time = 0\n",
    "\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "\n",
    "    prices = history_bars(context.s1, context.LONGPERIOD+1, '1d', 'close')\n",
    "\n",
    "    short_avg = talib.SMA(prices, context.SHORTPERIOD)\n",
    "    long_avg = talib.SMA(prices, context.LONGPERIOD)\n",
    "\n",
    "    cur_position = context.portfolio.positions[context.s1].quantity\n",
    "    shares = context.portfolio.cash/bar_dict[context.s1].close\n",
    "\n",
    "    if short_avg[-1] - long_avg[-1] < 0 and short_avg[-2] - long_avg[-2] > 0 and cur_position > 0:\n",
    "        order_target_value(context.s1, 0)\n",
    "        context.time=0\n",
    "\n",
    "    if short_avg[-1] - long_avg[-1] > 0 and short_avg[-2] - long_avg[-2] < 0 and context.time==0:\n",
    "        order_shares(context.s1, shares/3)\n",
    "        context.time=1\n",
    "    elif context.time == 1:\n",
    "        order_shares(context.s1, shares/3)\n",
    "        context.time=2\n",
    "    elif context.time == 2:\n",
    "        order_shares(context.s1, shares/3)\n",
    "        context.time=3\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2000-06-01\",\n",
    "    \"end_date\": \"2016-12-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "     \"report_save_path\": '.',\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "run_code(code, config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 50/30/20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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HhfLo7l0iD/ij6P77kWRTqxZJd+5wOziICo0a619XqdXU/XAwmkePaDN/IaVr1KTBiJHU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\nAOA5NigAAAAAAIDn/gfeCiSeOviogQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2254ce48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'sys_analyser': {'benchmark_portfolio':               cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                   \n",
       "  2005-01-04  738.21      99261.79                  1.000    100000.00   \n",
       "  2005-01-05  738.21     100248.56                  1.000    100986.77   \n",
       "  2005-01-06  738.21      99300.17                  1.010    100038.38   \n",
       "  2005-01-07  738.21      99379.96                  1.000    100118.17   \n",
       "  2005-01-10  738.21     100381.88                  1.001    101120.09   \n",
       "  2005-01-11  738.21     100711.14                  1.011    101449.35   \n",
       "  2005-01-12  738.21     100671.75                  1.014    101409.96   \n",
       "  2005-01-13  738.21     100684.88                  1.014    101423.09   \n",
       "  2005-01-14  738.21      99819.31                  1.014    100557.52   \n",
       "  2005-01-17  738.21      97712.45                  1.006     98450.66   \n",
       "  2005-01-18  738.21      98443.69                  0.985     99181.90   \n",
       "  2005-01-19  738.21      97688.21                  0.992     98426.42   \n",
       "  2005-01-20  738.21      96581.25                  0.984     97319.46   \n",
       "  2005-01-21  738.21      99242.60                  0.973     99980.81   \n",
       "  2005-01-24  738.21     100811.13                  1.000    101549.34   \n",
       "  2005-01-25  738.21     100775.78                  1.015    101513.99   \n",
       "  2005-01-26  738.21      99982.93                  1.015    100721.14   \n",
       "  2005-01-27  738.21      98437.63                  1.007     99175.84   \n",
       "  2005-01-28  738.21      97890.21                  0.992     98628.42   \n",
       "  2005-01-31  738.21      96442.88                  0.986     97181.09   \n",
       "  2005-02-01  738.21      96550.95                  0.972     97289.16   \n",
       "  2005-02-02  738.21     101697.91                  0.973    102436.12   \n",
       "  2005-02-03  738.21     100315.22                  1.024    101053.43   \n",
       "  2005-02-04  738.21     102702.86                  1.011    103441.07   \n",
       "  2005-02-16  738.21     103381.58                  1.034    104119.79   \n",
       "  2005-02-17  738.21     103081.61                  1.041    103819.82   \n",
       "  2005-02-18  738.21     101612.06                  1.038    102350.27   \n",
       "  2005-02-21  738.21     103588.63                  1.024    104326.84   \n",
       "  2005-02-22  738.21     105720.74                  1.043    106458.95   \n",
       "  2005-02-23  738.21     105437.94                  1.065    106176.15   \n",
       "  ...            ...           ...                    ...          ...   \n",
       "  2016-10-21  738.21     336101.74                  3.359    336839.95   \n",
       "  2016-10-24  738.21     340125.58                  3.368    340863.79   \n",
       "  2016-10-25  738.21     340112.45                  3.409    340850.66   \n",
       "  2016-10-26  738.21     338834.80                  3.409    339573.01   \n",
       "  2016-10-27  738.21     337915.70                  3.396    338653.91   \n",
       "  2016-10-28  738.21     337353.13                  3.387    338091.34   \n",
       "  2016-10-31  738.21     336964.28                  3.381    337702.49   \n",
       "  2016-11-01  738.21     339264.05                  3.377    340002.26   \n",
       "  2016-11-02  738.21     336668.35                  3.400    337406.56   \n",
       "  2016-11-03  738.21     339873.08                  3.374    340611.29   \n",
       "  2016-11-04  738.21     338771.17                  3.406    339509.38   \n",
       "  2016-11-07  738.21     339015.59                  3.395    339753.80   \n",
       "  2016-11-08  738.21     340483.12                  3.398    341221.33   \n",
       "  2016-11-09  738.21     338658.05                  3.412    339396.26   \n",
       "  2016-11-10  738.21     342451.61                  3.394    343189.82   \n",
       "  2016-11-11  738.21     345139.22                  3.432    345877.43   \n",
       "  2016-11-14  738.21     346455.25                  3.459    347193.46   \n",
       "  2016-11-15  738.21     346416.87                  3.472    347155.08   \n",
       "  2016-11-16  738.21     346388.59                  3.472    347126.80   \n",
       "  2016-11-17  738.21     347090.54                  3.471    347828.75   \n",
       "  2016-11-18  738.21     345163.46                  3.478    345901.67   \n",
       "  2016-11-21  738.21     347552.11                  3.459    348290.32   \n",
       "  2016-11-22  738.21     350304.36                  3.483    351042.57   \n",
       "  2016-11-23  738.21     350947.73                  3.510    351685.94   \n",
       "  2016-11-24  738.21     352362.74                  3.517    353100.95   \n",
       "  2016-11-25  738.21     355651.30                  3.531    356389.51   \n",
       "  2016-11-28  738.21     357043.08                  3.564    357781.29   \n",
       "  2016-11-29  738.21     359968.04                  3.578    360706.25   \n",
       "  2016-11-30  738.21     357338.00                  3.607    358076.21   \n",
       "  2016-12-01  738.21     360069.04                  3.581    360807.25   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2005-01-04        1.000000  100000  \n",
       "  2005-01-05        1.009868  100000  \n",
       "  2005-01-06        1.000384  100000  \n",
       "  2005-01-07        1.001182  100000  \n",
       "  2005-01-10        1.011201  100000  \n",
       "  2005-01-11        1.014494  100000  \n",
       "  2005-01-12        1.014100  100000  \n",
       "  2005-01-13        1.014231  100000  \n",
       "  2005-01-14        1.005575  100000  \n",
       "  2005-01-17        0.984507  100000  \n",
       "  2005-01-18        0.991819  100000  \n",
       "  2005-01-19        0.984264  100000  \n",
       "  2005-01-20        0.973195  100000  \n",
       "  2005-01-21        0.999808  100000  \n",
       "  2005-01-24        1.015493  100000  \n",
       "  2005-01-25        1.015140  100000  \n",
       "  2005-01-26        1.007211  100000  \n",
       "  2005-01-27        0.991758  100000  \n",
       "  2005-01-28        0.986284  100000  \n",
       "  2005-01-31        0.971811  100000  \n",
       "  2005-02-01        0.972892  100000  \n",
       "  2005-02-02        1.024361  100000  \n",
       "  2005-02-03        1.010534  100000  \n",
       "  2005-02-04        1.034411  100000  \n",
       "  2005-02-16        1.041198  100000  \n",
       "  2005-02-17        1.038198  100000  \n",
       "  2005-02-18        1.023503  100000  \n",
       "  2005-02-21        1.043268  100000  \n",
       "  2005-02-22        1.064590  100000  \n",
       "  2005-02-23        1.061762  100000  \n",
       "  ...                    ...     ...  \n",
       "  2016-10-21        3.368400  100000  \n",
       "  2016-10-24        3.408638  100000  \n",
       "  2016-10-25        3.408507  100000  \n",
       "  2016-10-26        3.395730  100000  \n",
       "  2016-10-27        3.386539  100000  \n",
       "  2016-10-28        3.380913  100000  \n",
       "  2016-10-31        3.377025  100000  \n",
       "  2016-11-01        3.400023  100000  \n",
       "  2016-11-02        3.374066  100000  \n",
       "  2016-11-03        3.406113  100000  \n",
       "  2016-11-04        3.395094  100000  \n",
       "  2016-11-07        3.397538  100000  \n",
       "  2016-11-08        3.412213  100000  \n",
       "  2016-11-09        3.393963  100000  \n",
       "  2016-11-10        3.431898  100000  \n",
       "  2016-11-11        3.458774  100000  \n",
       "  2016-11-14        3.471935  100000  \n",
       "  2016-11-15        3.471551  100000  \n",
       "  2016-11-16        3.471268  100000  \n",
       "  2016-11-17        3.478287  100000  \n",
       "  2016-11-18        3.459017  100000  \n",
       "  2016-11-21        3.482903  100000  \n",
       "  2016-11-22        3.510426  100000  \n",
       "  2016-11-23        3.516859  100000  \n",
       "  2016-11-24        3.531010  100000  \n",
       "  2016-11-25        3.563895  100000  \n",
       "  2016-11-28        3.577813  100000  \n",
       "  2016-11-29        3.607063  100000  \n",
       "  2016-11-30        3.580762  100000  \n",
       "  2016-12-01        3.608073  100000  \n",
       "  \n",
       "  [2894 rows x 6 columns],\n",
       "  'portfolio':                   cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                       \n",
       "  2005-01-04  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-05  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-06  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-07  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-10  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-11  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-12  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-13  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-14  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-17  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-18  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-19  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-20  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-21  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-24  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-25  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-26  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-27  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-28  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-31  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-01  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-02  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-03  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-04  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-16  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-17  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-18  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-21  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-22  100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-23  100000.000           0.0                  1.000   100000.000   \n",
       "  ...                ...           ...                    ...          ...   \n",
       "  2016-10-21  524105.921           0.0                  5.241   524105.921   \n",
       "  2016-10-24  524105.921           0.0                  5.241   524105.921   \n",
       "  2016-10-25  524105.921           0.0                  5.241   524105.921   \n",
       "  2016-10-26  524105.921           0.0                  5.241   524105.921   \n",
       "  2016-10-27  524105.921           0.0                  5.241   524105.921   \n",
       "  2016-10-28  262551.845      261345.0                  5.241   523896.845   \n",
       "  2016-10-31  183798.893      339465.0                  5.239   523263.893   \n",
       "  2016-11-01  147209.645      375654.0                  5.233   522863.645   \n",
       "  2016-11-02  147209.645      372777.0                  5.229   519986.645   \n",
       "  2016-11-03  147209.645      375243.0                  5.200   522452.645   \n",
       "  2016-11-04  147209.645      374421.0                  5.225   521630.645   \n",
       "  2016-11-07  147209.645      374832.0                  5.216   522041.645   \n",
       "  2016-11-08  147209.645      376065.0                  5.220   523274.645   \n",
       "  2016-11-09  147209.645      372777.0                  5.233   519986.645   \n",
       "  2016-11-10  147209.645      375654.0                  5.200   522863.645   \n",
       "  2016-11-11  147209.645      377298.0                  5.229   524507.645   \n",
       "  2016-11-14  147209.645      378942.0                  5.245   526151.645   \n",
       "  2016-11-15  147209.645      379353.0                  5.262   526562.645   \n",
       "  2016-11-16  147209.645      379353.0                  5.266   526562.645   \n",
       "  2016-11-17  147209.645      378531.0                  5.266   525740.645   \n",
       "  2016-11-18  147209.645      377298.0                  5.257   524507.645   \n",
       "  2016-11-21  147209.645      379764.0                  5.245   526973.645   \n",
       "  2016-11-22  147209.645      384696.0                  5.270   531905.645   \n",
       "  2016-11-23  147209.645      388395.0                  5.319   535604.645   \n",
       "  2016-11-24  147209.645      389217.0                  5.356   536426.645   \n",
       "  2016-11-25  147209.645      395382.0                  5.364   542591.645   \n",
       "  2016-11-28  147209.645      395793.0                  5.426   543002.645   \n",
       "  2016-11-29  147209.645      395382.0                  5.430   542591.645   \n",
       "  2016-11-30  147209.645      392505.0                  5.426   539714.645   \n",
       "  2016-12-01  147209.645      394560.0                  5.397   541769.645   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2005-01-04        1.000000  100000  \n",
       "  2005-01-05        1.000000  100000  \n",
       "  2005-01-06        1.000000  100000  \n",
       "  2005-01-07        1.000000  100000  \n",
       "  2005-01-10        1.000000  100000  \n",
       "  2005-01-11        1.000000  100000  \n",
       "  2005-01-12        1.000000  100000  \n",
       "  2005-01-13        1.000000  100000  \n",
       "  2005-01-14        1.000000  100000  \n",
       "  2005-01-17        1.000000  100000  \n",
       "  2005-01-18        1.000000  100000  \n",
       "  2005-01-19        1.000000  100000  \n",
       "  2005-01-20        1.000000  100000  \n",
       "  2005-01-21        1.000000  100000  \n",
       "  2005-01-24        1.000000  100000  \n",
       "  2005-01-25        1.000000  100000  \n",
       "  2005-01-26        1.000000  100000  \n",
       "  2005-01-27        1.000000  100000  \n",
       "  2005-01-28        1.000000  100000  \n",
       "  2005-01-31        1.000000  100000  \n",
       "  2005-02-01        1.000000  100000  \n",
       "  2005-02-02        1.000000  100000  \n",
       "  2005-02-03        1.000000  100000  \n",
       "  2005-02-04        1.000000  100000  \n",
       "  2005-02-16        1.000000  100000  \n",
       "  2005-02-17        1.000000  100000  \n",
       "  2005-02-18        1.000000  100000  \n",
       "  2005-02-21        1.000000  100000  \n",
       "  2005-02-22        1.000000  100000  \n",
       "  2005-02-23        1.000000  100000  \n",
       "  ...                    ...     ...  \n",
       "  2016-10-21        5.241059  100000  \n",
       "  2016-10-24        5.241059  100000  \n",
       "  2016-10-25        5.241059  100000  \n",
       "  2016-10-26        5.241059  100000  \n",
       "  2016-10-27        5.241059  100000  \n",
       "  2016-10-28        5.238968  100000  \n",
       "  2016-10-31        5.232639  100000  \n",
       "  2016-11-01        5.228636  100000  \n",
       "  2016-11-02        5.199866  100000  \n",
       "  2016-11-03        5.224526  100000  \n",
       "  2016-11-04        5.216306  100000  \n",
       "  2016-11-07        5.220416  100000  \n",
       "  2016-11-08        5.232746  100000  \n",
       "  2016-11-09        5.199866  100000  \n",
       "  2016-11-10        5.228636  100000  \n",
       "  2016-11-11        5.245076  100000  \n",
       "  2016-11-14        5.261516  100000  \n",
       "  2016-11-15        5.265626  100000  \n",
       "  2016-11-16        5.265626  100000  \n",
       "  2016-11-17        5.257406  100000  \n",
       "  2016-11-18        5.245076  100000  \n",
       "  2016-11-21        5.269736  100000  \n",
       "  2016-11-22        5.319056  100000  \n",
       "  2016-11-23        5.356046  100000  \n",
       "  2016-11-24        5.364266  100000  \n",
       "  2016-11-25        5.425916  100000  \n",
       "  2016-11-28        5.430026  100000  \n",
       "  2016-11-29        5.425916  100000  \n",
       "  2016-11-30        5.397146  100000  \n",
       "  2016-12-01        5.417696  100000  \n",
       "  \n",
       "  [2894 rows x 6 columns],\n",
       "  'stock_account':                   cash  dividend_receivable  market_value  total_value  \\\n",
       "  date                                                                     \n",
       "  2005-01-04  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-05  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-06  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-07  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-10  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-11  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-12  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-13  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-14  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-17  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-18  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-19  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-20  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-21  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-24  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-25  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-26  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-27  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-28  100000.000                    0           0.0   100000.000   \n",
       "  2005-01-31  100000.000                    0           0.0   100000.000   \n",
       "  2005-02-01  100000.000                    0           0.0   100000.000   \n",
       "  2005-02-02  100000.000                    0           0.0   100000.000   \n",
       "  2005-02-03  100000.000                    0           0.0   100000.000   \n",
       "  2005-02-04  100000.000                    0           0.0   100000.000   \n",
       "  2005-02-16  100000.000                    0           0.0   100000.000   \n",
       "  2005-02-17  100000.000                    0           0.0   100000.000   \n",
       "  2005-02-18  100000.000                    0           0.0   100000.000   \n",
       "  2005-02-21  100000.000                    0           0.0   100000.000   \n",
       "  2005-02-22  100000.000                    0           0.0   100000.000   \n",
       "  2005-02-23  100000.000                    0           0.0   100000.000   \n",
       "  ...                ...                  ...           ...          ...   \n",
       "  2016-10-21  524105.921                    0           0.0   524105.921   \n",
       "  2016-10-24  524105.921                    0           0.0   524105.921   \n",
       "  2016-10-25  524105.921                    0           0.0   524105.921   \n",
       "  2016-10-26  524105.921                    0           0.0   524105.921   \n",
       "  2016-10-27  524105.921                    0           0.0   524105.921   \n",
       "  2016-10-28  262551.845                    0      261345.0   523896.845   \n",
       "  2016-10-31  183798.893                    0      339465.0   523263.893   \n",
       "  2016-11-01  147209.645                    0      375654.0   522863.645   \n",
       "  2016-11-02  147209.645                    0      372777.0   519986.645   \n",
       "  2016-11-03  147209.645                    0      375243.0   522452.645   \n",
       "  2016-11-04  147209.645                    0      374421.0   521630.645   \n",
       "  2016-11-07  147209.645                    0      374832.0   522041.645   \n",
       "  2016-11-08  147209.645                    0      376065.0   523274.645   \n",
       "  2016-11-09  147209.645                    0      372777.0   519986.645   \n",
       "  2016-11-10  147209.645                    0      375654.0   522863.645   \n",
       "  2016-11-11  147209.645                    0      377298.0   524507.645   \n",
       "  2016-11-14  147209.645                    0      378942.0   526151.645   \n",
       "  2016-11-15  147209.645                    0      379353.0   526562.645   \n",
       "  2016-11-16  147209.645                    0      379353.0   526562.645   \n",
       "  2016-11-17  147209.645                    0      378531.0   525740.645   \n",
       "  2016-11-18  147209.645                    0      377298.0   524507.645   \n",
       "  2016-11-21  147209.645                    0      379764.0   526973.645   \n",
       "  2016-11-22  147209.645                    0      384696.0   531905.645   \n",
       "  2016-11-23  147209.645                    0      388395.0   535604.645   \n",
       "  2016-11-24  147209.645                    0      389217.0   536426.645   \n",
       "  2016-11-25  147209.645                    0      395382.0   542591.645   \n",
       "  2016-11-28  147209.645                    0      395793.0   543002.645   \n",
       "  2016-11-29  147209.645                    0      395382.0   542591.645   \n",
       "  2016-11-30  147209.645                    0      392505.0   539714.645   \n",
       "  2016-12-01  147209.645                    0      394560.0   541769.645   \n",
       "  \n",
       "              transaction_cost  \n",
       "  date                          \n",
       "  2005-01-04             0.000  \n",
       "  2005-01-05             0.000  \n",
       "  2005-01-06             0.000  \n",
       "  2005-01-07             0.000  \n",
       "  2005-01-10             0.000  \n",
       "  2005-01-11             0.000  \n",
       "  2005-01-12             0.000  \n",
       "  2005-01-13             0.000  \n",
       "  2005-01-14             0.000  \n",
       "  2005-01-17             0.000  \n",
       "  2005-01-18             0.000  \n",
       "  2005-01-19             0.000  \n",
       "  2005-01-20             0.000  \n",
       "  2005-01-21             0.000  \n",
       "  2005-01-24             0.000  \n",
       "  2005-01-25             0.000  \n",
       "  2005-01-26             0.000  \n",
       "  2005-01-27             0.000  \n",
       "  2005-01-28             0.000  \n",
       "  2005-01-31             0.000  \n",
       "  2005-02-01             0.000  \n",
       "  2005-02-02             0.000  \n",
       "  2005-02-03             0.000  \n",
       "  2005-02-04             0.000  \n",
       "  2005-02-16             0.000  \n",
       "  2005-02-17             0.000  \n",
       "  2005-02-18             0.000  \n",
       "  2005-02-21             0.000  \n",
       "  2005-02-22             0.000  \n",
       "  2005-02-23             0.000  \n",
       "  ...                      ...  \n",
       "  2016-10-21             0.000  \n",
       "  2016-10-24             0.000  \n",
       "  2016-10-25             0.000  \n",
       "  2016-10-26             0.000  \n",
       "  2016-10-27             0.000  \n",
       "  2016-10-28           209.076  \n",
       "  2016-10-31            62.952  \n",
       "  2016-11-01            29.248  \n",
       "  2016-11-02             0.000  \n",
       "  2016-11-03             0.000  \n",
       "  2016-11-04             0.000  \n",
       "  2016-11-07             0.000  \n",
       "  2016-11-08             0.000  \n",
       "  2016-11-09             0.000  \n",
       "  2016-11-10             0.000  \n",
       "  2016-11-11             0.000  \n",
       "  2016-11-14             0.000  \n",
       "  2016-11-15             0.000  \n",
       "  2016-11-16             0.000  \n",
       "  2016-11-17             0.000  \n",
       "  2016-11-18             0.000  \n",
       "  2016-11-21             0.000  \n",
       "  2016-11-22             0.000  \n",
       "  2016-11-23             0.000  \n",
       "  2016-11-24             0.000  \n",
       "  2016-11-25             0.000  \n",
       "  2016-11-28             0.000  \n",
       "  2016-11-29             0.000  \n",
       "  2016-11-30             0.000  \n",
       "  2016-12-01             0.000  \n",
       "  \n",
       "  [2894 rows x 5 columns],\n",
       "  'stock_positions':             avg_price  last_price  market_value order_book_id  quantity symbol\n",
       "  date                                                                          \n",
       "  2005-04-13      6.880        6.88       49536.0   000001.XSHE    7200.0   平安银行\n",
       "  2005-04-14      6.814        6.60       62040.0   000001.XSHE    9400.0   平安银行\n",
       "  2005-04-15      6.797        6.63       68952.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-04-18      6.797        6.43       66872.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-04-19      6.797        6.75       70200.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-04-20      6.797        6.63       68952.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-04-21      6.797        6.63       68952.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-04-22      6.797        5.98       62192.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-04-25      6.797        5.79       60216.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-04-26      6.797        6.05       62920.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-04-27      6.797        5.72       59488.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-04-28      6.797        5.88       61152.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-04-29      6.797        6.20       64480.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-05-09      6.797        6.09       63336.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-05-10      6.797        6.31       65624.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-05-11      6.797        6.19       64376.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-05-12      6.797        6.19       64376.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-05-13      6.797        6.02       62608.0   000001.XSHE   10400.0   平安银行\n",
       "  2005-05-16      6.797        5.90           0.0   000001.XSHE       0.0   平安银行\n",
       "  2005-06-10      6.580        6.58       44744.0   000001.XSHE    6800.0   平安银行\n",
       "  2005-06-13      6.561        6.50       57850.0   000001.XSHE    8900.0   平安银行\n",
       "  2005-06-14      6.544        6.39       63261.0   000001.XSHE    9900.0   平安银行\n",
       "  2005-06-15      6.544        6.22       61578.0   000001.XSHE    9900.0   平安银行\n",
       "  2005-06-16      6.544        6.37       63063.0   000001.XSHE    9900.0   平安银行\n",
       "  2005-06-17      6.544        6.37       63063.0   000001.XSHE    9900.0   平安银行\n",
       "  2005-06-20      6.544        6.39       63261.0   000001.XSHE    9900.0   平安银行\n",
       "  2005-06-21      6.544        6.39       63261.0   000001.XSHE    9900.0   平安银行\n",
       "  2005-06-22      6.544        6.48       64152.0   000001.XSHE    9900.0   平安银行\n",
       "  2005-06-23      6.544        6.23       61677.0   000001.XSHE    9900.0   平安银行\n",
       "  2005-06-24      6.544        6.29       62271.0   000001.XSHE    9900.0   平安银行\n",
       "  ...               ...         ...           ...           ...       ...    ...\n",
       "  2016-09-08      8.585        9.40      391416.0   000001.XSHE   41640.0   平安银行\n",
       "  2016-09-09      8.585        9.38      390583.2   000001.XSHE   41640.0   平安银行\n",
       "  2016-09-12      8.585        9.16      381422.4   000001.XSHE   41640.0   平安银行\n",
       "  2016-09-13      8.585        9.19      382671.6   000001.XSHE   41640.0   平安银行\n",
       "  2016-09-14      8.585        9.06           0.0   000001.XSHE       0.0   平安银行\n",
       "  2016-10-28      9.170        9.17      261345.0   000001.XSHE   28500.0   平安银行\n",
       "  2016-10-31      9.165        9.15      339465.0   000001.XSHE   37100.0   平安银行\n",
       "  2016-11-01      9.163        9.14      375654.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-02      9.163        9.07      372777.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-03      9.163        9.13      375243.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-04      9.163        9.11      374421.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-07      9.163        9.12      374832.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-08      9.163        9.15      376065.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-09      9.163        9.07      372777.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-10      9.163        9.14      375654.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-11      9.163        9.18      377298.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-14      9.163        9.22      378942.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-15      9.163        9.23      379353.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-16      9.163        9.23      379353.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-17      9.163        9.21      378531.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-18      9.163        9.18      377298.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-21      9.163        9.24      379764.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-22      9.163        9.36      384696.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-23      9.163        9.45      388395.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-24      9.163        9.47      389217.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-25      9.163        9.62      395382.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-28      9.163        9.63      395793.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-29      9.163        9.62      395382.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-11-30      9.163        9.55      392505.0   000001.XSHE   41100.0   平安银行\n",
       "  2016-12-01      9.163        9.60      394560.0   000001.XSHE   41100.0   平安银行\n",
       "  \n",
       "  [1589 rows x 6 columns],\n",
       "  'summary': {'alpha': 0.083,\n",
       "   'annualized_returns': 0.152,\n",
       "   'benchmark': '000300.XSHG',\n",
       "   'benchmark_annualized_returns': 0.114,\n",
       "   'benchmark_total_returns': 2.608,\n",
       "   'beta': 0.337,\n",
       "   'cash': 147209.645,\n",
       "   'downside_risk': 0.186,\n",
       "   'end_date': '2016-12-01',\n",
       "   'future_starting_cash': 0,\n",
       "   'information_ratio': 0.065,\n",
       "   'max_drawdown': 0.409,\n",
       "   'run_type': 'BACKTEST',\n",
       "   'sharpe': 0.51,\n",
       "   'sortino': 0.621,\n",
       "   'start_date': '2005-01-04',\n",
       "   'stock_starting_cash': 100000,\n",
       "   'strategy_file': 'strategy.py',\n",
       "   'strategy_name': 'strategy',\n",
       "   'total_returns': 4.418,\n",
       "   'total_value': 541769.645,\n",
       "   'tracking_error': 0.28,\n",
       "   'unit_net_value': 5.418,\n",
       "   'units': 100000,\n",
       "   'volatility': 0.227},\n",
       "  'trades':                      commission     exec_id  last_price  last_quantity  \\\n",
       "  datetime                                                                 \n",
       "  2005-04-13 15:00:00    39.62880  1497948834        6.88         7200.0   \n",
       "  2005-04-14 15:00:00    11.61600  1497948835        6.60         2200.0   \n",
       "  2005-04-15 15:00:00     5.30400  1497948836        6.63         1000.0   \n",
       "  2005-05-16 15:00:00    49.08800  1497948837        5.90        10400.0   \n",
       "  2005-06-10 15:00:00    35.79520  1497948838        6.58         6800.0   \n",
       "  2005-06-13 15:00:00    10.92000  1497948839        6.50         2100.0   \n",
       "  2005-06-14 15:00:00     5.11200  1497948840        6.39         1000.0   \n",
       "  2005-07-05 15:00:00    45.61920  1497948841        5.76         9900.0   \n",
       "  2005-08-02 15:00:00    32.74880  1497948842        6.02         6800.0   \n",
       "  2005-08-03 15:00:00     9.76000  1497948843        6.10         2000.0   \n",
       "  2005-08-04 15:00:00     5.00000  1497948844        6.04          900.0   \n",
       "  2005-08-29 15:00:00    47.18080  1497948845        6.08         9700.0   \n",
       "  2005-09-02 15:00:00    33.05280  1497948846        6.26         6600.0   \n",
       "  2005-09-05 15:00:00     9.59120  1497948847        6.31         1900.0   \n",
       "  2005-09-06 15:00:00     5.00000  1497948848        6.15          900.0   \n",
       "  2005-09-26 15:00:00    44.66880  1497948849        5.94         9400.0   \n",
       "  2005-12-02 15:00:00    31.71520  1497948850        5.83         6800.0   \n",
       "  2005-12-05 15:00:00     9.44160  1497948851        5.62         2100.0   \n",
       "  2005-12-06 15:00:00     5.00000  1497948852        5.76          900.0   \n",
       "  2006-02-20 15:00:00    49.31360  1497948853        6.29         9800.0   \n",
       "  2006-02-21 15:00:00    33.67840  1497948854        6.79         6200.0   \n",
       "  2006-02-22 15:00:00     9.77760  1497948855        6.79         1800.0   \n",
       "  2006-02-23 15:00:00     5.00000  1497948856        7.01          800.0   \n",
       "  2006-03-14 15:00:00    43.64800  1497948857        6.20         8800.0   \n",
       "  2006-04-07 15:00:00    31.57360  1497948858        6.47         6100.0   \n",
       "  2006-04-10 15:00:00     9.16640  1497948859        6.74         1700.0   \n",
       "  2006-04-11 15:00:00     5.00000  1497948860        6.92          800.0   \n",
       "  2006-06-20 15:00:00    48.98560  1497948861        7.12         8600.0   \n",
       "  2006-08-28 15:00:00    33.19680  1497948862        7.28         5700.0   \n",
       "  2006-08-29 15:00:00     9.80560  1497948863        7.21         1700.0   \n",
       "  ...                         ...         ...         ...            ...   \n",
       "  2014-11-03 15:00:00    44.44000  1497948988       11.11         5000.0   \n",
       "  2014-11-04 15:00:00    20.83200  1497948989       10.85         2400.0   \n",
       "  2015-01-21 15:00:00   280.32480  1497948990       14.42        24300.0   \n",
       "  2015-03-13 15:00:00   181.07920  1497948991       14.99        15100.0   \n",
       "  2015-03-16 15:00:00    54.24320  1497948992       15.41         4400.0   \n",
       "  2015-03-17 15:00:00    24.64000  1497948993       15.40         2000.0   \n",
       "  2015-05-15 15:00:00   318.88800  1497948994       15.45        25800.0   \n",
       "  2015-06-04 15:00:00   212.15520  1497948995       16.37        16200.0   \n",
       "  2015-06-05 15:00:00    62.59200  1497948996       16.30         4800.0   \n",
       "  2015-06-08 15:00:00    29.04720  1497948997       17.29         2100.0   \n",
       "  2015-06-23 15:00:00   276.27600  1497948998       14.95        23100.0   \n",
       "  2015-10-19 15:00:00   198.17600  1497948999       11.26        22000.0   \n",
       "  2015-10-20 15:00:00    58.86400  1497949000       11.32         6500.0   \n",
       "  2015-10-21 15:00:00    27.82560  1497949001       11.22         3100.0   \n",
       "  2015-12-08 15:00:00   302.34880  1497949002       11.96        31600.0   \n",
       "  2015-12-25 15:00:00   206.50240  1497949003       12.41        20800.0   \n",
       "  2015-12-28 15:00:00    61.33760  1497949004       11.98         6400.0   \n",
       "  2015-12-29 15:00:00    29.01600  1497949005       12.09         3000.0   \n",
       "  2016-01-05 15:00:00   275.42400  1497949006       11.40        30200.0   \n",
       "  2016-03-10 15:00:00   194.88000  1497949007       10.15        24000.0   \n",
       "  2016-03-11 15:00:00    58.52160  1497949008       10.16         7200.0   \n",
       "  2016-03-14 15:00:00    27.08640  1497949009       10.26         3300.0   \n",
       "  2016-04-28 15:00:00   294.21600  1497949010       10.66        34500.0   \n",
       "  2016-06-08 15:00:00   201.60000  1497949011       10.50        24000.0   \n",
       "  2016-06-13 15:00:00    60.32720  1497949012       10.33         7300.0   \n",
       "  2016-06-14 15:00:00    28.28800  1497949013       10.40         3400.0   \n",
       "  2016-09-14 15:00:00   301.80672  1497949014        9.06        41640.0   \n",
       "  2016-10-28 15:00:00   209.07600  1497949015        9.17        28500.0   \n",
       "  2016-10-31 15:00:00    62.95200  1497949016        9.15         8600.0   \n",
       "  2016-11-01 15:00:00    29.24800  1497949017        9.14         4000.0   \n",
       "  \n",
       "                      order_book_id    order_id position_effect  side symbol  \\\n",
       "  datetime                                                                     \n",
       "  2005-04-13 15:00:00   000001.XSHE  1497948881            None   BUY   平安银行   \n",
       "  2005-04-14 15:00:00   000001.XSHE  1497948882            None   BUY   平安银行   \n",
       "  2005-04-15 15:00:00   000001.XSHE  1497948883            None   BUY   平安银行   \n",
       "  2005-05-16 15:00:00   000001.XSHE  1497948884            None  SELL   平安银行   \n",
       "  2005-06-10 15:00:00   000001.XSHE  1497948885            None   BUY   平安银行   \n",
       "  2005-06-13 15:00:00   000001.XSHE  1497948886            None   BUY   平安银行   \n",
       "  2005-06-14 15:00:00   000001.XSHE  1497948887            None   BUY   平安银行   \n",
       "  2005-07-05 15:00:00   000001.XSHE  1497948888            None  SELL   平安银行   \n",
       "  2005-08-02 15:00:00   000001.XSHE  1497948889            None   BUY   平安银行   \n",
       "  2005-08-03 15:00:00   000001.XSHE  1497948890            None   BUY   平安银行   \n",
       "  2005-08-04 15:00:00   000001.XSHE  1497948891            None   BUY   平安银行   \n",
       "  2005-08-29 15:00:00   000001.XSHE  1497948892            None  SELL   平安银行   \n",
       "  2005-09-02 15:00:00   000001.XSHE  1497948893            None   BUY   平安银行   \n",
       "  2005-09-05 15:00:00   000001.XSHE  1497948894            None   BUY   平安银行   \n",
       "  2005-09-06 15:00:00   000001.XSHE  1497948895            None   BUY   平安银行   \n",
       "  2005-09-26 15:00:00   000001.XSHE  1497948896            None  SELL   平安银行   \n",
       "  2005-12-02 15:00:00   000001.XSHE  1497948897            None   BUY   平安银行   \n",
       "  2005-12-05 15:00:00   000001.XSHE  1497948898            None   BUY   平安银行   \n",
       "  2005-12-06 15:00:00   000001.XSHE  1497948899            None   BUY   平安银行   \n",
       "  2006-02-20 15:00:00   000001.XSHE  1497948900            None  SELL   平安银行   \n",
       "  2006-02-21 15:00:00   000001.XSHE  1497948901            None   BUY   平安银行   \n",
       "  2006-02-22 15:00:00   000001.XSHE  1497948902            None   BUY   平安银行   \n",
       "  2006-02-23 15:00:00   000001.XSHE  1497948903            None   BUY   平安银行   \n",
       "  2006-03-14 15:00:00   000001.XSHE  1497948904            None  SELL   平安银行   \n",
       "  2006-04-07 15:00:00   000001.XSHE  1497948905            None   BUY   平安银行   \n",
       "  2006-04-10 15:00:00   000001.XSHE  1497948906            None   BUY   平安银行   \n",
       "  2006-04-11 15:00:00   000001.XSHE  1497948907            None   BUY   平安银行   \n",
       "  2006-06-20 15:00:00   000001.XSHE  1497948908            None  SELL   平安银行   \n",
       "  2006-08-28 15:00:00   000001.XSHE  1497948909            None   BUY   平安银行   \n",
       "  2006-08-29 15:00:00   000001.XSHE  1497948910            None   BUY   平安银行   \n",
       "  ...                           ...         ...             ...   ...    ...   \n",
       "  2014-11-03 15:00:00   000001.XSHE  1497949036            None   BUY   平安银行   \n",
       "  2014-11-04 15:00:00   000001.XSHE  1497949037            None   BUY   平安银行   \n",
       "  2015-01-21 15:00:00   000001.XSHE  1497949038            None  SELL   平安银行   \n",
       "  2015-03-13 15:00:00   000001.XSHE  1497949039            None   BUY   平安银行   \n",
       "  2015-03-16 15:00:00   000001.XSHE  1497949040            None   BUY   平安银行   \n",
       "  2015-03-17 15:00:00   000001.XSHE  1497949041            None   BUY   平安银行   \n",
       "  2015-05-15 15:00:00   000001.XSHE  1497949042            None  SELL   平安银行   \n",
       "  2015-06-04 15:00:00   000001.XSHE  1497949043            None   BUY   平安银行   \n",
       "  2015-06-05 15:00:00   000001.XSHE  1497949044            None   BUY   平安银行   \n",
       "  2015-06-08 15:00:00   000001.XSHE  1497949045            None   BUY   平安银行   \n",
       "  2015-06-23 15:00:00   000001.XSHE  1497949046            None  SELL   平安银行   \n",
       "  2015-10-19 15:00:00   000001.XSHE  1497949047            None   BUY   平安银行   \n",
       "  2015-10-20 15:00:00   000001.XSHE  1497949048            None   BUY   平安银行   \n",
       "  2015-10-21 15:00:00   000001.XSHE  1497949049            None   BUY   平安银行   \n",
       "  2015-12-08 15:00:00   000001.XSHE  1497949050            None  SELL   平安银行   \n",
       "  2015-12-25 15:00:00   000001.XSHE  1497949051            None   BUY   平安银行   \n",
       "  2015-12-28 15:00:00   000001.XSHE  1497949052            None   BUY   平安银行   \n",
       "  2015-12-29 15:00:00   000001.XSHE  1497949053            None   BUY   平安银行   \n",
       "  2016-01-05 15:00:00   000001.XSHE  1497949054            None  SELL   平安银行   \n",
       "  2016-03-10 15:00:00   000001.XSHE  1497949055            None   BUY   平安银行   \n",
       "  2016-03-11 15:00:00   000001.XSHE  1497949056            None   BUY   平安银行   \n",
       "  2016-03-14 15:00:00   000001.XSHE  1497949057            None   BUY   平安银行   \n",
       "  2016-04-28 15:00:00   000001.XSHE  1497949058            None  SELL   平安银行   \n",
       "  2016-06-08 15:00:00   000001.XSHE  1497949059            None   BUY   平安银行   \n",
       "  2016-06-13 15:00:00   000001.XSHE  1497949060            None   BUY   平安银行   \n",
       "  2016-06-14 15:00:00   000001.XSHE  1497949061            None   BUY   平安银行   \n",
       "  2016-09-14 15:00:00   000001.XSHE  1497949062            None  SELL   平安银行   \n",
       "  2016-10-28 15:00:00   000001.XSHE  1497949063            None   BUY   平安银行   \n",
       "  2016-10-31 15:00:00   000001.XSHE  1497949064            None   BUY   平安银行   \n",
       "  2016-11-01 15:00:00   000001.XSHE  1497949065            None   BUY   平安银行   \n",
       "  \n",
       "                            tax     trading_datetime  transaction_cost  \n",
       "  datetime                                                              \n",
       "  2005-04-13 15:00:00    0.0000  2005-04-13 15:00:00          39.62880  \n",
       "  2005-04-14 15:00:00    0.0000  2005-04-14 15:00:00          11.61600  \n",
       "  2005-04-15 15:00:00    0.0000  2005-04-15 15:00:00           5.30400  \n",
       "  2005-05-16 15:00:00   61.3600  2005-05-16 15:00:00         110.44800  \n",
       "  2005-06-10 15:00:00    0.0000  2005-06-10 15:00:00          35.79520  \n",
       "  2005-06-13 15:00:00    0.0000  2005-06-13 15:00:00          10.92000  \n",
       "  2005-06-14 15:00:00    0.0000  2005-06-14 15:00:00           5.11200  \n",
       "  2005-07-05 15:00:00   57.0240  2005-07-05 15:00:00         102.64320  \n",
       "  2005-08-02 15:00:00    0.0000  2005-08-02 15:00:00          32.74880  \n",
       "  2005-08-03 15:00:00    0.0000  2005-08-03 15:00:00           9.76000  \n",
       "  2005-08-04 15:00:00    0.0000  2005-08-04 15:00:00           5.00000  \n",
       "  2005-08-29 15:00:00   58.9760  2005-08-29 15:00:00         106.15680  \n",
       "  2005-09-02 15:00:00    0.0000  2005-09-02 15:00:00          33.05280  \n",
       "  2005-09-05 15:00:00    0.0000  2005-09-05 15:00:00           9.59120  \n",
       "  2005-09-06 15:00:00    0.0000  2005-09-06 15:00:00           5.00000  \n",
       "  2005-09-26 15:00:00   55.8360  2005-09-26 15:00:00         100.50480  \n",
       "  2005-12-02 15:00:00    0.0000  2005-12-02 15:00:00          31.71520  \n",
       "  2005-12-05 15:00:00    0.0000  2005-12-05 15:00:00           9.44160  \n",
       "  2005-12-06 15:00:00    0.0000  2005-12-06 15:00:00           5.00000  \n",
       "  2006-02-20 15:00:00   61.6420  2006-02-20 15:00:00         110.95560  \n",
       "  2006-02-21 15:00:00    0.0000  2006-02-21 15:00:00          33.67840  \n",
       "  2006-02-22 15:00:00    0.0000  2006-02-22 15:00:00           9.77760  \n",
       "  2006-02-23 15:00:00    0.0000  2006-02-23 15:00:00           5.00000  \n",
       "  2006-03-14 15:00:00   54.5600  2006-03-14 15:00:00          98.20800  \n",
       "  2006-04-07 15:00:00    0.0000  2006-04-07 15:00:00          31.57360  \n",
       "  2006-04-10 15:00:00    0.0000  2006-04-10 15:00:00           9.16640  \n",
       "  2006-04-11 15:00:00    0.0000  2006-04-11 15:00:00           5.00000  \n",
       "  2006-06-20 15:00:00   61.2320  2006-06-20 15:00:00         110.21760  \n",
       "  2006-08-28 15:00:00    0.0000  2006-08-28 15:00:00          33.19680  \n",
       "  2006-08-29 15:00:00    0.0000  2006-08-29 15:00:00           9.80560  \n",
       "  ...                       ...                  ...               ...  \n",
       "  2014-11-03 15:00:00    0.0000  2014-11-03 15:00:00          44.44000  \n",
       "  2014-11-04 15:00:00    0.0000  2014-11-04 15:00:00          20.83200  \n",
       "  2015-01-21 15:00:00  350.4060  2015-01-21 15:00:00         630.73080  \n",
       "  2015-03-13 15:00:00    0.0000  2015-03-13 15:00:00         181.07920  \n",
       "  2015-03-16 15:00:00    0.0000  2015-03-16 15:00:00          54.24320  \n",
       "  2015-03-17 15:00:00    0.0000  2015-03-17 15:00:00          24.64000  \n",
       "  2015-05-15 15:00:00  398.6100  2015-05-15 15:00:00         717.49800  \n",
       "  2015-06-04 15:00:00    0.0000  2015-06-04 15:00:00         212.15520  \n",
       "  2015-06-05 15:00:00    0.0000  2015-06-05 15:00:00          62.59200  \n",
       "  2015-06-08 15:00:00    0.0000  2015-06-08 15:00:00          29.04720  \n",
       "  2015-06-23 15:00:00  345.3450  2015-06-23 15:00:00         621.62100  \n",
       "  2015-10-19 15:00:00    0.0000  2015-10-19 15:00:00         198.17600  \n",
       "  2015-10-20 15:00:00    0.0000  2015-10-20 15:00:00          58.86400  \n",
       "  2015-10-21 15:00:00    0.0000  2015-10-21 15:00:00          27.82560  \n",
       "  2015-12-08 15:00:00  377.9360  2015-12-08 15:00:00         680.28480  \n",
       "  2015-12-25 15:00:00    0.0000  2015-12-25 15:00:00         206.50240  \n",
       "  2015-12-28 15:00:00    0.0000  2015-12-28 15:00:00          61.33760  \n",
       "  2015-12-29 15:00:00    0.0000  2015-12-29 15:00:00          29.01600  \n",
       "  2016-01-05 15:00:00  344.2800  2016-01-05 15:00:00         619.70400  \n",
       "  2016-03-10 15:00:00    0.0000  2016-03-10 15:00:00         194.88000  \n",
       "  2016-03-11 15:00:00    0.0000  2016-03-11 15:00:00          58.52160  \n",
       "  2016-03-14 15:00:00    0.0000  2016-03-14 15:00:00          27.08640  \n",
       "  2016-04-28 15:00:00  367.7700  2016-04-28 15:00:00         661.98600  \n",
       "  2016-06-08 15:00:00    0.0000  2016-06-08 15:00:00         201.60000  \n",
       "  2016-06-13 15:00:00    0.0000  2016-06-13 15:00:00          60.32720  \n",
       "  2016-06-14 15:00:00    0.0000  2016-06-14 15:00:00          28.28800  \n",
       "  2016-09-14 15:00:00  377.2584  2016-09-14 15:00:00         679.06512  \n",
       "  2016-10-28 15:00:00    0.0000  2016-10-28 15:00:00         209.07600  \n",
       "  2016-10-31 15:00:00    0.0000  2016-10-31 15:00:00          62.95200  \n",
       "  2016-11-01 15:00:00    0.0000  2016-11-01 15:00:00          29.24800  \n",
       "  \n",
       "  [184 rows x 12 columns]}}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "import rqalpha\n",
    "from rqalpha.api import *\n",
    "import talib\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.SHORTPERIOD = 10\n",
    "    context.LONGPERIOD = 30\n",
    "    context.time = 0\n",
    "\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "\n",
    "    prices = history_bars(context.s1, context.LONGPERIOD+1, '1d', 'close')\n",
    "\n",
    "    short_avg = talib.SMA(prices, context.SHORTPERIOD)\n",
    "    long_avg = talib.SMA(prices, context.LONGPERIOD)\n",
    "\n",
    "    cur_position = context.portfolio.positions[context.s1].quantity\n",
    "    shares = context.portfolio.cash/bar_dict[context.s1].close\n",
    "\n",
    "    if short_avg[-1] - long_avg[-1] < 0 and short_avg[-2] - long_avg[-2] > 0 and cur_position > 0:\n",
    "        order_target_value(context.s1, 0)\n",
    "        context.time=0\n",
    "\n",
    "    if short_avg[-1] - long_avg[-1] > 0 and short_avg[-2] - long_avg[-2] < 0 and context.time==0:\n",
    "        order_shares(context.s1, shares*0.5)\n",
    "        context.time=1\n",
    "    elif context.time == 1:\n",
    "        order_shares(context.s1, shares*0.3)\n",
    "        context.time=2\n",
    "    elif context.time == 2:\n",
    "        order_shares(context.s1, shares*0.2)\n",
    "        context.time=3\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2000-06-01\",\n",
    "    \"end_date\": \"2016-12-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "     \"report_save_path\": '.',\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "run_code(code, config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 50/30/20/-50/-30/-20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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DsFAe3btH5EF/FO1/P5JsatUiOTqau6eDqNiosW6+kUpF3Q+Gon70iDaLfqRMzTdoMGo0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\nnBxMxcVEjBuPIIqknXfBUdEpIyMTPPRqoFiwYAELFizwa5syZQo7duxg0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3zRb91gzpm9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\nZ6x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      "text/plain": [
       "<matplotlib.figure.Figure at 0x260121d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "import rqalpha\n",
    "from rqalpha.api import *\n",
    "from queue import Queue\n",
    "import talib\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.SHORTPERIOD = 10\n",
    "    context.LONGPERIOD = 30\n",
    "    context.pos = [5000, 3000, 2000]\n",
    "    context.queue = Queue()\n",
    "    context.buy=0\n",
    "    context.sell=0\n",
    "\n",
    "\n",
    "def buy(context):\n",
    "    prices = history_bars(context.s1, context.LONGPERIOD+1, '1d', 'close')\n",
    "    short_avg = talib.SMA(prices, context.SHORTPERIOD)\n",
    "    long_avg = talib.SMA(prices, context.LONGPERIOD)\n",
    "    if short_avg[-1] - long_avg[-1] > 0 and short_avg[-2] - long_avg[-2] < 0:\n",
    "        return True\n",
    "\n",
    "\n",
    "def sell(context):\n",
    "    prices = history_bars(context.s1, context.LONGPERIOD+1, '1d', 'close')\n",
    "    short_avg = talib.SMA(prices, context.SHORTPERIOD)\n",
    "    long_avg = talib.SMA(prices, context.LONGPERIOD)\n",
    "    cur_position = context.portfolio.positions[context.s1].quantity\n",
    "    if short_avg[-1] - long_avg[-1] < 0 and short_avg[-2] - long_avg[-2] > 0 and cur_position > 0:\n",
    "        return True\n",
    "\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "    size = context.queue.qsize()\n",
    "    if size == 0:\n",
    "        if buy(context):\n",
    "            context.buy=1\n",
    "            volume = context.pos[size]\n",
    "            ## order volume\n",
    "            order_shares(context.s1, volume)\n",
    "            context.queue.put(volume)\n",
    "            return\n",
    "\n",
    "    if context.buy:\n",
    "        if sell(context):\n",
    "            context.sell=1\n",
    "            context.buy=0\n",
    "        elif size < 3:\n",
    "            volume = context.pos[size]\n",
    "            ## order volume\n",
    "            order_shares(context.s1, volume)\n",
    "            context.queue.put(volume)\n",
    "\n",
    "    if context.sell:\n",
    "        if size > 0:\n",
    "            volume = context.queue.get()\n",
    "            ## sell volume\n",
    "            order_shares(context.s1, -volume)\n",
    "        else:\n",
    "            context.sell=0\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2000-06-01\",\n",
    "    \"end_date\": \"2016-12-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 250000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "     \"report_save_path\": '.',\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "run_code(code, config)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
